code: def get_args():
      parser = argparse.ArgumentParser(
          description="""A multi-processed script for filtering a parallel corpus to remove sentences that are less than a minimum length
          or longer than a maximum length. Also filters based on the length ratio between source and target sentences"""
      )
      parser.add_argument(
          "--input-src",
          "-s",
          help="Path to the input file which has to contain text in language `source_lang`.",
          required=True,
          type=Path,
      )
      parser.add_argument(
          "--input-tgt",
          "-t",
          help="Path to the input file which has to contain text in language `target_lang`. If not provided, data is "
          "processed as monolingual.",
          type=Path,
      )
      parser.add_argument(
          "--output-src",
          "-S",
          help="Path to the file where filtered `input_src` will be saved.",
          required=True,
          type=Path,
      )
      parser.add_argument(
          "--output-tgt",
          "-T",
          help="Path to the output target file",
          type=Path,
      )
      parser.add_argument(
          "--removed-src",
          "-r",
          required=True,
          help="Path to file where removed source lines will be saved",
          type=Path,
      )
      parser.add_argument(
          "--removed-tgt",
          "-R",
          help="Path to file where removed target lines will be saved",
          type=Path,
      )
      parser.add_argument(
          "--num-jobs",
          "-j",
          type=int,
          help="Number of jobs. By default, the number of jobs is equal to the number of CPU cores.",
      )
      parser.add_argument(
          "--min-length",
          "-m",
          type=int,
          default=1,
          help="Minimum sequence length (after .split())",
      )
      parser.add_argument(
          "--max-length",
          "-M",
          type=int,
          default=512,
          help="Maximum sequence length (after .split())",
      )
      parser.add_argument(
          "--ratio",
          "-z",
          type=float,
          default=1.3,
          help="Ratio of the length of the source sentence to the length of the target sentence.",
      )
      args = parser.parse_args()
      args.input_src = args.input_src.expanduser()
      if args.input_tgt is not None:
          args.input_tgt = args.input_tgt.expanduser()
      args.output_src = args.output_src.expanduser()
      if args.output_tgt is not None:
          args.output_tgt = args.output_tgt.expanduser()
      args.removed_src = args.removed_src.expanduser()
      if args.removed_tgt is not None:
          args.removed_tgt = args.removed_tgt.expanduser()
      return args
  
file_path: NeMo/scripts/neural_machine_translation/length_ratio_filter.py
imports: import argparse
  import logging
  import multiprocessing
  import re
  import shutil
  import warnings
  from pathlib import Path
  from time import sleep
  from tqdm import tqdm
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: args